Technical Deep-dive18 min read

Building a Multi-Agent Research System with LangGraph: Architecture and Lessons Learned

How we built a 5-agent legal research system with LangGraph, why we chose it over vanilla LangChain, and the production pitfalls that nearly broke us.

AK
Anna K.Author · ScaleTeam
PublishedFeb 2026
Reading Time18 min read
TypeTechnical Deep-dive

How we built a 5-agent legal research system with LangGraph, why we chose it over vanilla LangChain, and the production pitfalls that nearly broke us.

Ch. 01

Why multi-agent over a single monolithic chain

Content for this section is coming soon. This article by Anna K. covers important aspects of why multi-agent over a single monolithic chain.

Ch. 02

The LangGraph architecture: supervisors, workers, and state

Content for this section is coming soon. This article by Anna K. covers important aspects of the langgraph architecture: supervisors, workers, and state.

Ch. 03

Tool use patterns for legal research databases

Content for this section is coming soon. This article by Anna K. covers important aspects of tool use patterns for legal research databases.

Ch. 04

Production pitfalls: race conditions and token budgets

Content for this section is coming soon. This article by Anna K. covers important aspects of production pitfalls: race conditions and token budgets.

Ch. 05

Performance benchmarks and cost analysis

Content for this section is coming soon. This article by Anna K. covers important aspects of performance benchmarks and cost analysis.

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